recurrent: videos

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1. 1▶(Old) Lecture 9 | (2/3) Convolutional Neural Networks(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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2. 2▶(Old) Lecture 15 | (3/3) Recurrent Neural Networks(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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3. 3▶Continual Learning in Neural Networks by Pulkit Agarwal(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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4. 4▶(Old) Lecture 11 | (1/3) Recurrent Neural Networks(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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5. 5▶Cascade-Correlation and Deep Learning by Scott Fahlman (Spring 2019)(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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6. 6▶(Old) Lecture 12 | (2/3) Recurrent Neural Networks(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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7. 7▶(Old) Lecture 10 | (3/3) Convolutional Neural Networks(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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8. 8▶(Old) Lecture 8 | (1/3) Convolutional Neural Networks(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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9. 9▶(Old) Lecture 7 | Optimization and Generalization(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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10. 10▶(Old) Lecture 6 | Acceleration, Regularization, and Normalization(Old) Lecture Series | Introduction to Deep Learning, 11-785, Spring 2019Notes
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11. 11▶Lecture 10: Neural Machine Translation and Models with AttentionLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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12. 12▶Review Session: Midterm ReviewLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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13. 13▶Lecture 8: Recurrent Neural Networks and Language ModelsLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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14. 14▶Lecture 9: Machine Translation and Advanced Recurrent LSTMs and GRUsLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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15. 15▶Lecture 6: Dependency ParsingLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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16. 16▶Lecture 7: Introduction to TensorFlowLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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17. 17▶Lecture 5: Backpropagation and Project AdviceLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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18. 18▶Lecture 4: Word Window Classification and Neural NetworksLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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19. 19▶Lecture 2 | Word Vector Representations: word2vecLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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20. 20▶Lecture 3 | GloVe: Global Vectors for Word RepresentationLecture Collection | Natural Language Processing with Deep Learning (Winter 2017)Notes
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